Core Viewpoint - The public fund industry is undergoing a transformation from scale expansion to a focus on high-quality development centered around investor returns, as emphasized by the China Securities Regulatory Commission's action plan [1] Group 1: Industry Transformation - The public fund industry is shifting towards high-quality development, aligning with national strategies and investor wealth management needs [1] - Digitalization is identified as a key driver for this transformation, enhancing service capabilities and operational efficiency [1] Group 2: Company Strategy - Pengyang Fund views digitalization as the core engine for its transformation, focusing on foundational capabilities, comprehensive business empowerment, and exploration of cutting-edge technologies [2] - The company aims to create a new digital transformation landscape that integrates technology with business [2] Group 3: Infrastructure Development - Pengyang Fund has built a robust data infrastructure over the years, utilizing distributed technology architecture to create a high-performance, scalable data management platform [3] - The data management system supports the entire lifecycle of data metrics, transforming raw data into core business assets [3] Group 4: Business Application - The company is enhancing digital capabilities across various business areas, including investment research, marketing, trading, risk control, compliance, and operations [4] - Advanced technologies like big data and AI are being applied to improve efficiency and decision-making in investment research [4] - Marketing efforts are enhanced through efficient data acquisition and analysis, improving service effectiveness [4] - Operational efficiency is increased through automation, reducing operational risks and improving customer service experiences [4] Group 5: Technological Innovation - Pengyang Fund is leveraging breakthroughs in AI to build differentiated competitive advantages, implementing practical strategies for AI application [5] - The company has successfully deployed local natural language models in various core scenarios, significantly improving work efficiency and quality [5] - Future plans include deepening the integration of financial technology with business to provide better financial services to investors [5]